Global Retail Point of Interest & Foot Traffic Data

In the dynamic retail industry, access to accurate and comprehensive data is not just an advantage – it's a necessity. dataplor's Global Independent & Multi-National Retail Locations Dataset offers a panoramic view of the worldwide retail landscape, empowering businesses with the knowledge they need to thrive.

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# Data Points for Precision:

-Retailer Profiles: Detailed information on both independent shops and multinational stores, including official names, and unique identifiers.

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-Business Classification: Precise categorization by industry (e.g., apparel, electronics, grocery) and business model (e.g., independent boutique, single-location retailer), ensuring granular insights.

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-Location Precision: Exact street addresses, geographic coordinates (latitude and longitude), and operational status (open/closed) for precise mapping and analysis.

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-Store Attributes: Comprehensive details such as years in operation, and other relevant attributes to gauge market presence and potential.

<br/>By providing non-PII mobility data paired with the most comprehensive location data, our product ensures businesses can act with confidence while maintaining data privacy standards.dataplor's datasets include 55+ attributes such as: - Unique, Static dataplor ID - Business Name - Main/Sub/Business Categories - Chain ID/Name - Home Address - Neighborhood - City, State, Postal, Country - Latitude/Longitude - Open/Closed Status- Visit Counts - Confidence Scoring - First Opened - Popularity Indices - Sentiment Indices, and more<br/>

搜集汇总

背景与挑战

背景概述

该数据集提供全球独立及连锁零售商的详细位置与客流量数据，包含55+个属性维度如店铺信息、行业分类、地理坐标、经营状态等，支持精准的商业空间分析和市场决策。数据采用非PII处理方式，在确保隐私的前提下提供全面的零售业态洞察。